1 citations · 1 across the 2 of their papers we have counts for
4 papers
Bayesian low-rank latent-cluster regression for mixed health outcomes
Hsin-Hsiung Huang, Suyeon Kang
High-dimensional health and surveillance studies often involve many collinear predictors, multiple correlated outcomes of different types, and latent heterogeneity across observati…
Simulation-Based Sensitivity Analysis in Optimal Treatment Regimes and Causal Decomposition with Individualized Interventions
Soojin Park, Suyeon Kang, Chioun Lee
Causal decomposition analysis aims to assess the effect of modifying risk factors on reducing social disparities in outcomes. Recently, this analysis has incorporated individual ch…
Sensitivity Analysis for Causal Decomposition Analysis: Assessing Robustness Toward Omitted Variable Bias
Soojin Park, Suyeon Kang, Chioun Lee +1
A key objective of decomposition analysis is to identify a factor (the 'mediator') contributing to disparities in an outcome between social groups. In decomposition analysis, a sch…
Choosing an Optimal Method for Causal Decomposition Analysis: A Better Practice for Identifying Contributing Factors to Health Disparities
Soojin Park, Suyeon Kang, Chioun Lee
Causal decomposition analysis provides a way to identify mediators that contribute to health disparities between marginalized and non-marginalized groups. In particular, the degree…